Welcome to my blog. The fine folks at the BeyeNETWORK™ have provided me with this forum to offer opinion and insight into the worlds of telcommunications (telecom) and business activity monitoring (BAM). But as with any blog, I am sure that we (yes we... since blogging is a "team sport"...) will explore other tangents that intersect the concepts of telecom and BAM.

In this world of "Crossfire" intellectual engagement (i.e. I yell louder therefore I win the argument), I will try to offer my opinion in a constructive manner. If I truly dislike a concept, I will do my best to offer an alternative as opposed to simply attempting to prove my point by disproving someone else's. I ask that people who post to this blog follow in my lead.

John Myers, a senior analyst in the business intelligence
(BI) practice at Enterprise Management Associates (EMA). In this role,
John delivers comprehensive coverage of the business intelligence and data
warehouse industry with a focus on database management, data integration, data
visualization, and process management solutions. Prior to joining EMA, John
spent over ten years working with business analytics implementations associated
with the telecommunications industry.

Garmin said that fine detail analysis of a car's behavior including speed of acceleration; speed of braking; and avoiding hills could dramatically increase the range of an electric vehicle (EV)... or reduce the carbon footprint of a gas vehicle. This is over and above traditional information like speed and distance. It was, quite frankly, an implementation of geospatial analysis I hadn't thought of.... That is until the business/green aspects were provided to me...

Since EVs currently only have so many charging locations, you don't want to get stuck down the wrong road or halfway up the wrong hill.... ;)

The question will be how well an organization can integrate the various telematic information to create that analysis:

Dynamic EV information like battery charge

Fluid external information like traffic density

Static external information like rise and fall of streets; as well as charging station location

to provide an EV’s driver with the "operational BI" on how/where to drive.

Other than shortest distance or shortest time how many elements due you think the average driver can process or agree to process from a navigation system?

Or does it depend on training associated with running out of "juice" on the wrong side of a hill from the charging station? ;)